A novel strategy for spinal cord reconstruction via vascularized allogeneic spinal cord transplantation combine spinal cord fusion
Bibliographic record
Abstract
AIMS: Spinal cord injuries (SCI) pose persistent challenges in clinical practice due to the secondary injury. Drawing from our experience in spinal cord fusion (SCF), we propose vascularized allogeneic spinal cord transplantation (vASCT) as a novel approach for SCI, much like organ transplantation has revolutionized organ failure treatment and vascularized composite-tissue allotransplantation has addressed limb defects. MATERIALS AND METHODS: In this study, 24 dogs were paired and underwent vASCT, with donor spinal cord grafts and polyethylene glycol (PEG) application for SCF. The experimental group (n = 8) received tacrolimus and methylprednisolone, while the control group (n = 4) received only methylprednisolone. Safety and efficacy of vASCT were evaluated through electrophysiology, imaging, and 6-month follow-up. RESULTS: The experimental group showed substantial recovery in hind limb motor function. Imaging revealed robust survival of spinal cord grafts and restoration of spinal cord continuity. In contrast, the control group maintained hind limb paralysis, with imaging confirming spinal cord graft necrosis and extensive defects. Electrophysiologically, the experimental group exhibited restored motor evoked potential signal conduction postoperatively, unlike the control group. Notably, PEG application during vASCT led to signal conduction recovery in intraoperative spinal cord evoked potential examinations for all dogs. CONCLUSION: In the vASCT surgical model, the combination of PEG with tacrolimus has demonstrated the ability to reconstruct spinal cord continuity and restore hind limb motor function in beagles. Notably, a low dose of tacrolimus has also exhibited an excellent anti-immune rejection effect. These findings highlight vASCT's potential promise as a therapeutic strategy for addressing irreversible SCI.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".